2

Remote Data Analyst R Programming Jobs in New York

Data Analyst, Private Markets

Manhattan, NY ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Cross-Functional Coordination: Work closely with Data, Product, and Engineering teams to ... Process-oriented and organized, with a proven ability to self-manage in a remote or hybrid work ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Product Data Analyst

New York, NY ยท Remote

$145K - $175K/yr

Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and ... Experience building metrics frameworks or KPI hierarchies from scratch How we work Fully remote ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... AI/data, business operations, recruiting, corporate development, private markets, or ...

... Python/R/PHP/PERL, and database management. Familiarity with Array and Sequencing based high ... based programming interfaces with backend pipeline development, analyzing experimental data ...

Data Scientist

New York, NY ยท Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... programming languages with a focus on machine learning and advanced analytics (such as Python, R ...

Data Science Tutor

New Brunswick, NJ ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Paramus, NJ ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Mount Vernon, NY ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Stamford, CT ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Hempstead, NY ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Summit, NJ ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Showing results 41-60

Remote Data Analyst R Programming information

What is a remote data analyst r programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.

What are the key skills and qualifications needed to thrive as a remote data analyst specializing in R programming?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a remote data analyst specializing in r programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

Are remote data analysts in demand?

Remote data analysts, including those skilled in R programming, are in high demand due to the increasing reliance on data-driven decision making across industries. Companies seek professionals with strong analytical skills, proficiency in tools like R and SQL, and the ability to work independently in virtual environments, leading to a growing job market for remote roles.

Do data analysts use R programming?

Data analysts often use R programming as it provides powerful tools for data manipulation, statistical analysis, and visualization. R is widely adopted in the field due to its extensive package ecosystem and open-source nature, making it a valuable skill for data analysis roles.

What are the most commonly searched types of Data Analyst R Programming jobs in New York?

The most popular types of Data Analyst R Programming jobs in New York are:

What are popular job titles related to Remote Data Analyst R Programming jobs in New York?

For Remote Data Analyst R Programming jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst R Programming jobs in New York look for?

The top searched job categories for Remote Data Analyst R Programming jobs in New York are:

What cities in New York are hiring for Remote Data Analyst R Programming jobs?

Cities in New York with the most Remote Data Analyst R Programming job openings:

Data Analyst, Private Markets

Canoe Intelligence

Manhattan, NY โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

COMPANY: Canoe Intelligence

WEBSITE: https://canoeintelligence.com/

TITLE: Data Analyst, Private Markets

LOCATION: New York City (hybrid)

SALARY: $70,000 - $100,000 + Bonus

The Role:

You are an emerging operations professional eager to grow your career at the intersection of private markets and cutting-edge AI. As a member of our Canoe Data Operations Team, you will apply your expertise in private market data to build, define, and execute on our product and service offering—while supporting day-to-day operations, ensuring data quality, and tackling the operational complexity of the private markets ecosystem.

You will work alongside senior team members to manage delivery through our onshore and offshore teams, contribute to the accuracy and efficiency of our platform, and partner closely with Product Managers to help shape the future product roadmap. This is an exciting opportunity to own core functionality and drive meaningful improvements across service delivery and ongoing operations.


What You'll Do:

Operational Support & Workflow Management:

  • Support Document Processing Workflows: Assist in the intake, review, and processing of LP documents (Capital Account Statements, PCAPs, Call/Distribution Notices), ensuring they move through the pipeline accurately and on time.

  • Monitor & Triage Exceptions: Review automated outputs, identify processing exceptions or anomalies, and escalate or resolve issues in coordination with senior operations staff.

  • Deliver Quality: Reconcile extraction data against source documents, manage conflicting data points, and maintain high standards across all client deliverables.

Subject Matter Expertise & Data Quality:

  • Be an SME: Become a go-to individual within Canoe for private market data points—including underlying asset data such as cost basis, valuations, and operating metrics—and support the manipulation and enrichment of such data.

  • Advocate for Standards: Champion best practices, perform quality checks, and drive consistency across the team to foster a culture of excellence.

  • Derive Insights: Perform analysis on data trends to inform our product and service offering, and flag patterns that can inform process improvements or automation opportunities.

Process Improvement & Product Development:

  • Continuous Improvement: Identify technology and process improvements to efficiently and effectively process data, and assist in refining operating procedures.

  • Document Operational Logic: Help capture and organize process notes, workflow rules, and exception-handling procedures to be shared across operations and product teams.

  • Cross-Functional Coordination: Work closely with Data, Product, and Engineering teams to communicate operational needs, contribute to product roadmap discussions, and flag issues that require systemic fixes.

Collaboration & Client Support:

  • Manage Offshore Coordination: Support delivery through onshore and offshore team structures, ensuring work is executed accurately and on schedule.

  • Client-Adjacent Support: Assist client-facing team members by preparing operational summaries and data quality reports that support client communications and onboarding.

What We're Looking For:

  • Experience: 1+ years of experience in fund operations, fund administration, private market data, or a related financial services role. Internship experience in relevant fields will be considered.

  • Domain Knowledge: Familiarity with private market data points including asset-level data (cost basis, valuations, operating metrics), capital calls, distributions, and fund financial statements.

  • Operational Mindset: Process-oriented and organized, with a proven ability to self-manage in a remote or hybrid work setting and balance individual focus with team collaboration.

  • Attention to Detail: You take accuracy seriously and understand that clean, reliable data is the foundation of everything we do.

  • Communication Skills: Strong communication, presentation, and interpersonal skills with the ability to work effectively across teams and time zones.

  • Comfort with Ambiguity: Comfortable navigating complex, fast-paced environments and uncovering answers to open-ended product and operational questions.

  • Technical Comfort: Comfortable working with structured data in Excel or similar tools. Exposure to SQL or data platforms is a bonus, but not required.


What You'll Get:

  • Medical, dental, vision benefits

  • Flexible PTO

  • 401(k)

  • Flexible work from home policy

  • Home office stipend + wifi reimbursement

  • Employee Assistance Program

  • Gym reimbursement

  • Education assistance

  • Parental Leave

  • Commuter benefits


Our Values:

Client First —> Listen, and deliver client-centric solutions

Be An Owner —> Take initiative, improve situations, drive positive outcomes

Excellence —> Always set the highest standard for yourself and others

Win Together —> 1 + 1 = 3


Who We Are:

Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe's technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe's AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.

Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.